Rigorous quantitative decision modeling, predictive econometrics, marketing science, and data engineering for enterprise intelligence. Students earn 2 independent accredited diplomas with a 60% / 40% international credit split.
MSc Business Analytics & Decision Science (Dual Award) is taught as one award, not a list of unrelated modules. The published length is 18 months, and the credit total is 180. Students move from Data and measurement through Data and measurement; Models that can be checked; Deployment and care; Analytics project; Data and measurement (MSC-D202); Models that can be checked (MSC-D203), and finish on Deployment and care (MSC-D301).
Each course has a question, a method, and a submission. In this field, students define a measurable question, fit a method that can be checked, and report where it fails. Reading is a dataset description, a methods note, and one published evaluation. The artefact a marker expects is a project note with the question, the method, the result, and the limitation.
The award is built so that a graduate can do the following in practice: Two master's degree awards certified by leading UK academic committees Enterprise big data project using real-world anonymised customer transaction sets Masterclasses with analytics directors across FTSE 100 and Fortune 500 corporations
Teaching assumes the student can read a source, attempt a problem before the seminar, and revise after feedback. Attendance at live seminars is part of the design. The capstone or final course must use the methods of the earlier courses; a project that ignores them does not pass.
The pages for each course name the topics that are examined. Those topics are the syllabus. A brochure line is not a substitute for them.
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